Currently tracking 241 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Capital One currently has 293 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 28% of the total, followed closely by agents at 26% and post-training at 23%. Engineering is the dominant function, with 234 roles, and hiring is primarily concentrated in the United States. Frequent tech tags include model_serving, vector_db, and llm_observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Capital One posted 124 new AI roles, representing a 22% increase compared to the previous 30-day period.
Capital One currently has 305 active AI-related roles in our index. The most common open titles are: Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (9), Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (8), Applied Researcher I (6), Distinguished Engineer (6), Applied Researcher II (5). Most positions are in Engineering and Research.
Capital One's active AI hiring is concentrated in: serving infrastructure (28%), agents (27%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).
Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.
In the past 30 days, Capital One has posted 96 new AI-related roles. That is a -26% change versus the prior 30 days (130 → 96).
| Title | Stage | AI score |
|---|---|---|
| Principal Associate, Data Scientist - Mainstreet Acquisitions The role focuses on building and implementing machine learning models for credit decisioning within the Mainstreet Acquisitions team at Capital One. It involves working with large datasets, leveraging various technologies, and collaborating with cross-functional teams to deliver solutions for critical business decisions like application approval and customer valuation. | Post-train | 7 |
| Manager, Data Science Manager, Data Science role at Capital One in Plano, TX. This position involves partnering with cross-functional teams to deliver products, leveraging technologies like Python, AWS, and Spark. The core responsibilities include building machine learning models through all development phases (design, training, evaluation, validation, implementation) and translating complex work into business goals. Requires a quantitative background with experience in data analytics, machine learning, and relational databases. |
| Serve |
| 7 |
| Manager, Data Scientist - Credit Line Increase Program Capital One is seeking a Manager, Data Scientist to lead the development and deployment of machine learning models for their Credit Line Increase Program. This role involves partnering with cross-functional teams, leveraging technologies like Python and AWS, and managing the full model lifecycle from design to implementation and monitoring. The ideal candidate has a strong statistical background, experience with various ML techniques, and a customer-centric approach. | Post-train | 7 |
| Principal Data Scientist Capital One's DataLabs AML team is modernizing money laundering detection using advanced analytics, statistics, and machine learning models. This Principal Data Scientist role involves end-to-end development, deployment, and monitoring of risk management models, partnering cross-functionally, and defending these systems to regulators. The role requires strong ML/statistical skills, experience with Python/R, and SQL, with a focus on building and validating predictive models in the financial services domain. | Post-train | 7 |
| Principal Associate, Data Scientist - AI for Data Data Scientist role focused on developing AI-enabled features across the data lifecycle within a fintech company. Responsibilities include building ML models through all phases, leveraging technologies like Python, AWS, and Spark, and collaborating with cross-functional teams. Requires experience with various ML techniques, deep learning frameworks, and NLP/IR/Search/Recommendations/Fine-tuning on LLMs. | Post-trainServe | 7 |
| Senior Manager, Data Science - Cash Flow Underwriting Senior Manager, Data Science for Cash Flow Underwriting at Capital One. This role focuses on leveraging advanced machine learning techniques to build and implement predictive models for risk and usage, transforming raw banking data into valuable features for forecasting creditworthiness and customer behavior. The role involves leading a team, strategic planning, and end-to-end model development. | Post-train | 7 |
| Principal Associate, Data Scientist - Cash Flow Underwriting Data Scientist role focused on building machine learning models for cash flow underwriting in the fintech domain. The role involves transforming raw banking data into predictive features to forecast creditworthiness and customer behavior, covering all phases of model development from design to implementation. | Post-train | 7 |
| Senior Associate, Data Scientist - Cash Flow Underwriting This role focuses on leveraging advanced machine learning techniques to identify and engineer predictive signals from cash flow and transaction data for risk and usage models in the fintech domain. The data scientist will transform raw banking data into high-value features to forecast creditworthiness and customer behavior, building ML models through all phases of development. | Data | 7 |
| Principal Associate, Data Scientist - Financial Services Data Scientist role focused on building machine learning models for financial services applications like customer lifetime valuation, product recommendation, and fraud detection, with a specific mention of Generative AI. The role involves the full ML lifecycle from design to implementation and requires experience with Python, SQL, AWS, and various ML techniques. | ShipPost-train | 7 |
| Business Manager This Business Manager role focuses on strategic leadership and execution within Capital One's DataLabs Anti-Money Laundering (AML) team. The role involves developing business strategies, managing project delivery, and partnering with various departments to improve compliance and risk management through advanced data methodologies, statistics, and machine learning models. The ideal candidate has a strong quantitative background, experience in developing and validating ML models, and a passion for innovation in the financial services industry. | DataPost-train | 7 |
| Principal Associate, Data Scientist - US Card (Generative AI Systems) This role is for a Principal Associate Data Scientist on the Generative AI Systems (Genesis) team within Capital One's Card Data Science division. The team builds state-of-the-art generative AI solutions for various applications including dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series sequencing. The role involves partnering with cross-functional teams to deliver customer-facing and internal applications, leveraging technologies like Python, AWS, and Spark, and building machine learning models through all phases of development. The ideal candidate is customer-focused, innovative, creative, technically proficient, statistically-minded, and adept at handling large datasets. | ShipPost-train | 7 |
| Sr. Director, Product Management - AI/ML Platform Intelligence Sr. Director of Product Management to lead a team responsible for Capital One's Machine Learning and Generative AI platforms, focusing on core platform services for AI/ML that power business applications. Requires technical leadership, experience building products for data scientists and software developers, and familiarity with AI/ML infrastructure and tooling. | ServeAgent | 7 |
| Sr Lead Machine Learning Engineer This role focuses on the engineering aspects of machine learning, specifically in productionizing ML applications and systems at scale within a financial services context. The engineer will be involved in the design, development, implementation, and maintenance of ML models and infrastructure, ensuring high availability and performance. The role emphasizes collaboration, code quality, and leveraging cloud platforms for ML deployment. | Serve | 7 |
| Director, Data Scientist - US Card (Mainstreet Acquisitions) Capital One is seeking a Director, Data Scientist to lead efforts in transforming how next-generation models are built and trained for the US Card business. This role involves leveraging machine learning and AI techniques to innovate credit forecasting, working with a cross-functional team, and managing the full lifecycle of model development from design through implementation. The position requires a strong quantitative background, experience in data analytics, machine learning, and relational databases, with a focus on innovation and leadership. | Post-train | 7 |
| Senior Associate, Data Science - Consumer Credit Risk Models and Data This role focuses on deploying, optimizing, and modernizing machine learning model pipelines and execution platforms for consumer credit risk management within a fintech company. The primary responsibility is to ensure these models are effectively implemented and provide insights for strategic decision-making, including loss allowances, stress testing, and capital allocation. | Serve | 7 |
| Sr. Distinguished Machine Learning Engineer Senior Distinguished Machine Learning Engineer role focused on technical leadership for productionizing ML applications and systems at scale within the financial services industry. The role involves driving the creation and evolution of ML models and software, leveraging cloud architectures, optimizing data pipelines, and mentoring other engineers. Requires extensive experience in data-intensive solutions, ML development lifecycle, and programming. | ShipServe | 7 |
| Manager, Data Scientist - Model Risk Office Manager of Data Scientists within the Model Risk Office, focusing on validating and building statistical or machine learning models, including those with unique risks associated with Generative AI. The role involves partnering with cross-functional teams, leveraging technologies like Python and AWS, and translating complex work into business goals. The ideal candidate is creative, a leader, statistically-minded, and a data guru. | ShipPost-train | 7 |
| Senior Manager, Data Science - Model Risk Office Senior Manager role focused on Model Risk Office within Capital One, leading teams to identify and quantify risks associated with models, challenge production models, and contribute to model governance. The role involves leveraging data science, machine learning, and various technologies to ensure better decision-making and defend against model failures in a financial services context. | ShipPost-train | 7 |
| Principal Associate, Data Scientist - Mainstreet Acquisitions Capital One is seeking a Principal Associate, Data Scientist for their Mainstreet Acquisitions team. This role involves developing and deploying valuation models for credit underwriting, leveraging alternative data sources and advanced modeling techniques. The position requires building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation, using technologies like Python, AWS, and Spark. The ideal candidate is customer-focused, innovative, creative, technically proficient, statistically-minded, and skilled in handling large datasets. | Post-train | 7 |
| Manager, Data Scientist - Card Intelligence Model Risk Management Manager, Data Scientist role focused on Card Intelligence Model Risk Management within Capital One's fintech domain. The role involves building machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. It requires partnering with cross-functional teams and leveraging technologies like Python, AWS, H2O, and Spark. The position emphasizes statistical modeling, data analysis, and understanding customer data to drive data-driven decision-making. Experience in model governance and end-to-end development is preferred. | Post-train | 7 |
| Manager, Data Scientist - Recommendation & Personalization Systems Manager, Data Scientist focused on Recommendation & Personalization Systems within an Applied AI team. The role involves architecting and deploying personalized recommendation engines using Foundation Models, Reinforcement Learning, and Transformer-based architectures. It operates at the intersection of research and real-world impact, dealing with high-scale ML models and billions of customer records in the fintech domain. | AgentPost-train | 7 |
| Sr. Distinguished Engineer Senior Distinguished Engineer role focused on technical leadership for productionizing machine learning applications and systems at scale within the financial services industry. The role involves driving the creation and evolution of ML models and software, leveraging cloud architectures, optimizing data pipelines, and mentoring engineers. Requires extensive experience in data-intensive solutions and the ML development lifecycle. | ShipServe | 7 |
| Senior Associate, Data Scientist - Model Risk Office This role is in Capital One's Model Risk Office, focusing on identifying and quantifying risks associated with models, including Generative AI. The Senior Associate Data Scientist will build machine learning models to challenge existing production models, contribute to model governance, and validate models across various business domains. They will leverage technologies like PyTorch, Hugging Face, LangChain, Vector Databases, and LLMOps to analyze multi-modal data and present findings to executives. | ShipAgent | 7 |
| Manager, Data Scientist - Model Risk Office This role is within Capital One's Model Risk Office, focusing on identifying and quantifying risks associated with models, including Generative AI. The Data Scientist will build machine learning models to challenge existing production models and contribute to the model governance framework. They will validate models across various business domains and present findings to executives. The role requires experience with ML, data analysis, and databases, with a preference for GenAI and model validation experience. | ShipPost-train | 7 |
| Manager, Data Scientist - Emerging Payments & Airkey Manager, Data Scientist role at Capital One focused on Emerging Payments & Airkey. The team builds ML models for customer-facing payment experiences, processing large-scale financial data using technologies like XGBoost, transformers, embeddings, and LLMs. The role involves building ML models from design through production for millions of customers, partnering with cross-functional teams, and leveraging various technologies like SQL, Python, AWS, and Spark. | ShipPost-train | 7 |
| Lead Data Scientist - Deep Learning Practitioner Lead Data Scientist role focused on developing and deploying deep learning models for underwriting and supporting LLM-based product development in a fintech company. | Post-trainServe | 7 |
| Senior Director, Technical Program Management -Ai/ML (Remote Eligible) Senior Director, Technical Program Management to lead programs for Capital One's next-generation Generative AI platform and tools, serving as the backbone for the company's AI Information strategy. This role will drive the adoption of AI and Machine Learning across business lines to deliver high-reliability, real-time customer experiences. The position also involves growing and developing a team of TPMs and establishing the TPM discipline within the team. | Ship | 5 |
| Senior Lead Data Engineer Senior Lead Data Engineer at Capital One, focusing on designing, developing, and implementing technical solutions with a team of developers experienced in machine learning and full-stack systems. The role involves utilizing various programming languages and cloud-based data warehousing services, and collaborating with product managers to deliver cloud-based solutions. While the role mentions leading a team with ML experience and leveraging AI tooling, the core responsibilities are centered around data engineering and application development, not directly shipping AI models or agents. | — | 5 |
| Lead Software Engineer Lead Software Engineer role at Capital One, focusing on full-stack development of cloud-based solutions for financial empowerment, with a team leadership component and leveraging AI tooling for productivity. | — | 5 |
| Senior Lead Software Engineer Senior Lead Software Engineer role at Capital One, focusing on leading technology projects, delivering cloud-based solutions for financial empowerment, and utilizing AI tooling for productivity. The role involves collaboration with product managers and mentoring other engineers, with a strong emphasis on software engineering fundamentals and cloud technologies. | — | 5 |
| Lead Data Engineer Lead Data Engineer role at Capital One focused on building and pioneering in the technology space, collaborating with Agile teams to design, develop, test, implement, and support technical solutions. The role involves working with machine learning, distributed microservices, and full stack systems, utilizing languages like Java, Scala, and Python, and cloud-based data warehousing services. It also emphasizes sharing tech trends, mentoring, and delivering cloud-based solutions for financial empowerment. Experience with interactive AI tooling is preferred. | — | 5 |
| Senior Manager, Product Management - Core Platform | Capital One Travel Senior Technical Product Manager to own the technical roadmap for the Capital One Travel Core Platform Team, focusing on building foundational tooling for AI-driven front-end development, component library centralization, and modernization of testing, deployment, and observability. The role requires a former engineer who can drive a technical mandate into a roadmap and shipped results in an AI-first environment, actively using AI tools. | Ship | 5 |
| Senior Director, Research & User Intelligence, Customer and Developer Experiences This role leads a research and user intelligence team focused on customer and developer experiences within Capital One's Experience Design organization. The team uses human-centered research methods and AI skills to gather user insights, support product development, and drive experience measurement. The leader will focus on building cumulative user intelligence, managing research programs, and developing a world-class team. | — | 5 |
| Manager, Product Management - Data Infrastructure for Collections Platform Product Manager role focused on data infrastructure for a collections platform, involving integration of ML models, enabling smarter segmentation and decisioning, and working with enterprise platforms and business partners to identify new data sources and capabilities. The role is within the Customer Resiliency team, focusing on modernizing technology and improving customer experience for those managing debt. | — | 5 |
| Manager, Product Manager - Core Cases Product Manager role focused on transforming Intelligent Document Processing using OCR and LLMs, scaling services, and driving innovation in customer-backed solutions within Capital One's fintech domain. The role emphasizes human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership. | — | 5 |
| Principal Risk Specialist, Tech & Cyber Risk | Retail Bank This role focuses on managing and mitigating technology and cyber risks associated with AI implementations within a financial institution. The specialist will partner with various teams to assess and address risks related to AI applications, large-scale architecture transformations, and overall technology resilience. Experience with AI risk management frameworks and working in regulated environments is preferred. | Agent | 5 |
| Senior Manager, Project Management – Financial Services Talent Strategy This role is a Senior Manager of Project Management focused on Talent Strategy within the Financial Services division. The primary goal is to transition from manual talent planning to an AI-assisted, predictive talent system. Responsibilities include architecting roadmaps, consolidating tools, building predictive interfaces, leveraging AI for skill mapping and flight risk identification, and operationalizing talent review processes. While AI tools are leveraged, the core function is product/project management of a talent system, not direct AI/ML model development. | — | 5 |
| Manager, Data Science - Model and Script Enhancement (MASE) Compliance This role focuses on assessing compliance risk in models and scripts within a financial institution. While it involves evaluating code and potentially leveraging GenAI for process improvement, the core function is risk management and compliance, not direct AI/ML model development or deployment. | — | 5 |
| Manager, Data Scientist - Credit Review Manager, Data Scientist role at Capital One focused on challenging existing production models with new statistical and machine learning models. The role involves leveraging technologies like Python, AWS, H2O, and Spark to analyze large volumes of data, build and validate models, and collaborate with cross-functional teams. The ideal candidate has a strong statistical background, experience with various machine learning techniques, and a passion for innovation. | Post-train | 5 |
| Director, Product Management - Small Business Experiences & Capabilities (BC&P) Product Manager role focused on small business experiences and capabilities, with a requirement for demonstrated interest and aptitude in AI, including personal projects and exploration of AI tools. The role involves leading a team, driving product launches, and transforming the Product Management organization by leveraging AI. | — | 5 |
| Senior Platform Engineer Senior Platform Engineer for the Enterprise Search Team, focused on scaling Agentic AI solutions for developer productivity and knowledge discovery. The role involves engineering high-availability systems for AI agents and maintaining core internal platforms. Requires experience with build/deployment tools and AWS. | AgentServe | 5 |
| Cyber Program Manager Program Manager for Capital One's Cyber Execution and Transformation (CET) team, focusing on implementing key cyber initiatives, operationalizing risk frameworks, and bridging gaps between technical teams, risk professionals, and executives. The role requires strong program management, analytical skills, and a background in Cyber or Cloud implementations, with a stated understanding of AI technologies and emerging cybersecurity risks. | — | 5 |
| Manager, SRE Risk Advisory and Oversight This role focuses on second-line oversight and risk assessment of Site Reliability Engineering (SRE) and software engineering practices within a financial services company. The Manager will evaluate cloud implementations, resilience architectures, and the integration of emerging automation and Generative AI toolsets to ensure reliability and stability. Key responsibilities include conducting technical risk analyses, supporting effective challenge against enterprise risk appetites, building reporting materials for executives, and assessing core SRE pillars like SLIs/SLOs and CI/CD pipelines. While the role evaluates AI/ML tooling, its core function is risk management and advisory, not direct AI/ML model development or deployment. | — | 5 |
| Lead Data Engineer (Enterprise Platforms Technology) Lead Data Engineer role focused on building and pioneering technology solutions within Capital One's Enterprise Platforms Technology group. The role involves collaborating with Agile teams, designing and developing technical solutions, working with machine learning and distributed microservices teams, and utilizing various programming languages and cloud-based data warehousing services. The position requires experience in application development, big data technologies, and cloud computing, with preferred qualifications in specific technologies like Spark, Kafka, Snowflake, and real-time data streaming. | — | 5 |
| Senior Associate, Bilingual (Spanish) Process Manager Linguist This role focuses on managing and ensuring the quality of Spanish translations for financial services, legal, and marketing content within Capital One. It involves using translation technologies, adhering to glossaries and style guides, performing quality assurance, and driving process improvements to ensure linguistic accuracy and cultural resonance for U.S. Spanish-speaking customers. The role requires bilingual fluency in Spanish and English, experience with language technologies, and a background in financial services, legal, or marketing. | — | 5 |
| Sr. Manager, Product Management - PACE (Business Cards & Payments) Product Manager leader for Capital One's Business Cards & Payments team, focusing on the employee card spending journey. The role requires a demonstrated interest in AI, with a preference for candidates who have used AI in personal projects or explored AI tools. | — | 5 |
| Senior Lead Software Engineer, Back End (Finance Tech) Senior Lead Software Engineer focused on back-end development within Capital One's Finance Tech division. The role involves leading technology projects, mentoring developers, and building cloud-based solutions for financial services, with an emphasis on regulatory needs and leveraging emerging technologies. While the role mentions using AI tooling for productivity, its core function is not AI/ML model development but rather engineering robust financial systems. | — | 5 |
| Principal Associate, Business Analysis This role focuses on applying advanced data methodologies, statistics, and machine learning models within the Anti-Money Laundering (AML) domain. The Principal Associate, Business Analysis will be responsible for understanding user needs, conducting business analyses, defining business requirements, and executing against product strategy to modernize how Capital One identifies potential financial crimes. While the role involves working with ML models and data, the primary output is business strategy, product definition, and requirements, rather than shipping the ML models themselves. | Data | 5 |
| Business Director, Card Technology Analytics This role leads an analytics organization focused on measuring and optimizing software development processes, including the utilization and impact of AI developer tools. The goal is to provide data insights for strategic engineering outcomes and enhance developer productivity and experience. | Ship | 5 |
| Principal Associate, Business Analysis The role focuses on modernizing Anti-Money Laundering (AML) processes using advanced analytics, statistics, and machine learning models. It involves developing data sourcing, predictive models, products, monitoring, and reporting. The candidate will understand user needs, conduct business analyses, and translate strategy into tangible products and outcomes within the financial services industry, specifically for AML. | Data | 5 |